Name
Abstract | ||
|---|---|---|
This work explores neural networks (NN) based control approach to nonlinear flight systems in the presence of disturbances and uncertainties. Neuro-adaptive control incorporating with two neural network (NN) units is proposed to cope with NN reconstruction error and other lumped system uncertainties. It is shown that with the proposed strategy, the angles of attack, sideslip and body-axis roll of the vehicle are effectively controlled. The method does not involve analytical estimation of the upper bounds on ideal weights, reconstruction error, or nonlinear functions. Stable on-line weight-tuning algorithms are derived based on Lyapunov's stability theory. Analyses and simulations confirm the effectiveness of the proposed control scheme. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11427469_30 | ISNN (3) |
Keywords | Field | DocType |
analytical estimation,neuro-adaptive approach,nn reconstruction error,reusable launch vehicle,control approach,neural network,nonlinear function,body-axis roll,proposed strategy,neuro-adaptive control,reconstruction error,proposed control scheme,stability theory,adaptive control,upper bound | Lyapunov function,Error function,Nonlinear system,Control theory,Nonlinear control,Computer science,Upper and lower bounds,Adaptive control,Artificial neural network,Stability theory | Conference |
Volume | ISSN | ISBN |
3498 | 0302-9743 | 3-540-25914-7 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yong-Duan Song | 1 | 1949 | 108.61 |
| Xiao H. Liao | 2 | 0 | 0.68 |
| M. D. Gheorghiu | 3 | 0 | 0.34 |
| Ran Zhang | 4 | 0 | 0.34 |
| Yao Li | 5 | 8 | 3.57 |